// Copyright (c) 2000-2020, Heiko Bauke
// All rights reserved.
//
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#if !(defined TRNG_RAYLEIGH_DIST_HPP)

#define TRNG_RAYLEIGH_DIST_HPP

#include <trng/cuda.hpp>
#include <trng/limits.hpp>
#include <trng/utility.hpp>
#include <trng/math.hpp>
#include <ostream>
#include <istream>
#include <iomanip>
#include <cerrno>
#include <ciso646>

namespace trng {

  // uniform random number generator class
  template<typename float_t = double>
  class rayleigh_dist {
  public:
    using result_type = double;

    class param_type {
    private:
      result_type nu_{1};

    public:
      TRNG_CUDA_ENABLE
      result_type nu() const { return nu_; }
      TRNG_CUDA_ENABLE
      void nu(result_type nu_new) { nu_ = nu_new; }
      TRNG_CUDA_ENABLE
      param_type() = default;
      TRNG_CUDA_ENABLE
      explicit param_type(result_type nu) : nu_(nu) {}

      friend class rayleigh_dist;

      // Streamable concept
      template<typename char_t, typename traits_t>
      friend std::basic_ostream<char_t, traits_t> &operator<<(
          std::basic_ostream<char_t, traits_t> &out, const param_type &P) {
        std::ios_base::fmtflags flags(out.flags());
        out.flags(std::ios_base::dec | std::ios_base::fixed | std::ios_base::left);
        out << '(' << std::setprecision(math::numeric_limits<float_t>::digits10 + 1) << P.nu()
            << ')';
        out.flags(flags);
        return out;
      }

      template<typename char_t, typename traits_t>
      friend std::basic_istream<char_t, traits_t> &operator>>(
          std::basic_istream<char_t, traits_t> &in, param_type &P) {
        float_t nu;
        std::ios_base::fmtflags flags(in.flags());
        in.flags(std::ios_base::dec | std::ios_base::fixed | std::ios_base::left);
        in >> utility::delim('(') >> nu >> utility::delim(')');
        if (in)
          P = rayleigh_dist::param_type(nu);
        in.flags(flags);
        return in;
      }
    };

  private:
    param_type P;

  public:
    // constructor
    TRNG_CUDA_ENABLE
    explicit rayleigh_dist(result_type nu) : P{nu} {}
    TRNG_CUDA_ENABLE
    explicit rayleigh_dist(const param_type &P) : P{P} {}
    // reset internal state
    TRNG_CUDA_ENABLE
    void reset() {}
    // random numbers
    template<typename R>
    TRNG_CUDA_ENABLE result_type operator()(R &r) {
      return icdf(utility::uniformoo<result_type>(r));
    }
    template<typename R>
    TRNG_CUDA_ENABLE result_type operator()(R &r, const param_type &P) {
      rayleigh_dist g(P);
      return g(r);
    }
    // property methods
    TRNG_CUDA_ENABLE
    result_type min() const { return 0; }
    TRNG_CUDA_ENABLE
    result_type max() const { return math::numeric_limits<result_type>::infinity(); }
    TRNG_CUDA_ENABLE
    param_type param() const { return P; }
    TRNG_CUDA_ENABLE
    void param(const param_type &p_new) { P = p_new; }
    TRNG_CUDA_ENABLE
    result_type nu() const { return P.nu(); }
    TRNG_CUDA_ENABLE
    void nu(result_type nu_new) { P.nu(nu_new); }
    // probability density function
    TRNG_CUDA_ENABLE
    result_type pdf(result_type x) const {
      if (x <= 0)
        return 0;
      const result_type t{x / (P.nu() * P.nu())};
      return t * math::exp(-t * x / 2);
    }
    // cumulative density function
    TRNG_CUDA_ENABLE
    result_type cdf(result_type x) const {
      if (x <= 0)
        return 0;
      return 1 - math::exp(-x * x / (2 * P.nu() * P.nu()));
    }
    // inverse cumulative density function
    TRNG_CUDA_ENABLE
    result_type icdf(result_type x) const {
      if (x < 0 or x > 1) {
#if !(defined __CUDA_ARCH__)
        errno = EDOM;
#endif
        return math::numeric_limits<result_type>::quiet_NaN();
      }
      return P.nu() * math::sqrt(-2 * math::ln(1 - x));
    }
  };

  // -------------------------------------------------------------------

  // EqualityComparable concept
  template<typename float_t>
  TRNG_CUDA_ENABLE inline bool operator==(
      const typename rayleigh_dist<float_t>::param_type &p1,
      const typename rayleigh_dist<float_t>::param_type &p2) {
    return p1.nu() == p2.nu();
  }

  template<typename float_t>
  TRNG_CUDA_ENABLE inline bool operator!=(
      const typename rayleigh_dist<float_t>::param_type &p1,
      const typename rayleigh_dist<float_t>::param_type &p2) {
    return not(p1 == p2);
  }

  // -------------------------------------------------------------------

  // EqualityComparable concept
  template<typename float_t>
  TRNG_CUDA_ENABLE inline bool operator==(const rayleigh_dist<float_t> &g1,
                                          const rayleigh_dist<float_t> &g2) {
    return g1.param() == g2.param();
  }

  template<typename float_t>
  TRNG_CUDA_ENABLE inline bool operator!=(const rayleigh_dist<float_t> &g1,
                                          const rayleigh_dist<float_t> &g2) {
    return g1.param() != g2.param();
  }

  // Streamable concept
  template<typename char_t, typename traits_t, typename float_t>
  std::basic_ostream<char_t, traits_t> &operator<<(std::basic_ostream<char_t, traits_t> &out,
                                                   const rayleigh_dist<float_t> &g) {
    std::ios_base::fmtflags flags(out.flags());
    out.flags(std::ios_base::dec | std::ios_base::fixed | std::ios_base::left);
    out << "[rayleigh " << g.param() << ']';
    out.flags(flags);
    return out;
  }

  template<typename char_t, typename traits_t, typename float_t>
  std::basic_istream<char_t, traits_t> &operator>>(std::basic_istream<char_t, traits_t> &in,
                                                   rayleigh_dist<float_t> &g) {
    typename rayleigh_dist<float_t>::param_type p;
    std::ios_base::fmtflags flags(in.flags());
    in.flags(std::ios_base::dec | std::ios_base::fixed | std::ios_base::left);
    in >> utility::ignore_spaces() >> utility::delim("[rayleigh ") >> p >> utility::delim(']');
    if (in)
      g.param(p);
    in.flags(flags);
    return in;
  }

}  // namespace trng

#endif
